IBM – Gold Partner of DIS 2017

IBM is a global cloud platform and cognitive solutions company, which has continually evolved over IBM_logo.svgthe past century to remain at the forefront of technological innovation.

Data Science is an interdisciplinary field that combines machine learning, statistics, advanced analysis, and programming. It is a new form of art that draws out hidden insights and puts data to work in the cognitive era. Today we are excited to announce the IBM Data Science Experience, an environment that has everything a data scientist needs to be successful. IBM Data Science Experience is an interactive, collaborative, cloud-based environment where data scientists can use multiple tools to activate their insights. Data scientists can use the best of open source, tap into IBM’s unique features, grow their capabilities, and share their successes.

To get yourself going, create projects to collaborate with other data scientists and data engineers, create and share notebooks, data sets, and data connections, or use RStudio.

Have questions?
Email IBM
Or call us at: +32 (0) 2 339 98 35
Priority code: Analytics Platform

IBM is one of the leading global technology and innovation companies in the world, headquartered in Armonk, NY.

As a globally integrated enterprise, IBM operates in more than 175 countries and is continuing to shift its business to the higher value segments of enterprise IT.

IBM is a cognitive solutions and cloud platform company that offers a wide range of technology and consulting services; a broad portfolio of middleware for collaboration, predictive analytics, software development and systems management; and the world’s most advanced servers and enterprise computers like IBM Watson. Utilising its business consulting, technology and R&D expertise, IBM is making the world work better by transforming industries and professions through technology and data. This includes working with organisations and governments to build systems that improve traffic congestion, managing water, and the health and safety of populations.

IBM annually invests approximately 6 percent of total revenue for R&D, focusing on high-growth, high-value opportunities. In 2016, IBM was awarded more U.S. patents than any other company for the 24th consecutive year. IBM Research has received recognition beyond any commercial technology research organisation and is home to 6 Nobel Laureates, 10 US National Medals of Technology, 5 US National Medals of Science, 6 Turing Awards, and 20 Inductees in US Inventors Hall of Fame. Our company was behind the inventions of the PC; SABRE travel reservation system; UPC codes, Watson, the Jeopardy!-playing computing system, and much more.

Join diSummit 2017 and take part in IBM‘s innovative workshop, a unique experience you cannot miss!!!

 

Nurturing your Data Scientists : 70 years of accumulated experience at your service!

The Data Science community is proud to announce the entrance in of a startup dedicated to data scientists coaching and nurturing: WeLoveDataScience

Data scientist… Where are you? Do you really exist?

That’s the question many managers do currently face. Data Scientists is a scarce 5-legs sheeps: difficult to find, difficult to hire and difficult to keep.

 

logo_WeLOveDataScience_width2000

 

WeLoveDataScience is a brand new business unit, hosted at the European Data Innovation Hub, dedicated to searching, selecting, training, coaching and nurturing data science talents. The Belgian market does not propose enough candidates: we will take care to train next-gen data scientists for you.

Whatever your projects are, we propose to prepare for you the data scientist(s) you need, following these 7 steps:

  1. Together we prepare a detailed job description corresponding to your real needs: is this about data analysis, basic queries, reporting, data mining, big data or new technologies?
  2. We identify candidates on the market in particular through close collaborations with Belgian universities (Ghent, ULB/VUB, UCLouvain…)
  3. You hire the right candidate!
  4. He/she assists a 12 weeks data science bootcamp , including: high-level overview, data science for business, technical stack (SAS, R, Python…), introduction to specific technologies/topics (NoSQL or graph databases, social network analysis, text-mining..)
  5. Then he/she works for you at our offices during 4 tot 6 month, coached by one of our expert. On the job coaching on real projects: your projects but also hackathons, technology workshops, meetups…
  6. After those 10 intensive months, (s)he is ready to work for you on site. (S)He will demonstrate his/her knowledge by giving a course on a specific topic and/or writing entries in specialised blogs, giving a presentation at a conference…
  7. We assist you in yearly evaluation and follow-up.

Our intentions for 2016 are to help companies create and develop data science teams and to build a data science culture… And WeLoveDataScience: this is 70 years of accumulated experience at your disposal!

Want to know more? Visit: www.welovedatascience.com , send an email to info@welovedatascience.com or simply fill in this contact form. We will visit and explain what we do and brainstorm about your specific needs.

 

Awesome Data Science Repository by Leandro Guerra

Leandro was surfing GitHub when he found this repository: Awesome Data Science

It has an extensive list of data science bloggers, MOOCS and the diamond: a free list of 24 free datasets sources. Excellent to study and apply some data science techniques.

Some highlights:

MOOC’s

Data Sets

DSC Resources

Additional Reading

Follow us on Twitter: @DataScienceCtrl | @AnalyticBridge

Job – Keyrus – Data Science consultant – Brussels

keyrus

Vanessa Closset from Keyrus just used our easy job update form  to advertise for free the following data driven job opportunity.

 

Duties and responsibilities

As a Data Scientist, you will need a combination of business focus, strong analytical and problem solving skills as well as programming experience to be able to analyse large data sets of information with the appropriate tools and techniques in order to deliver insightful and actionable information in an impactful manner.

Your main mission will consist of working with our customers and understanding their business context. This unique role will engage you with the business by addressing strategic and tactical questions through the use of data mining and data visualization techniques, including pattern detection, graph analysis or statistical analysis. You’ll be challenged to propose innovative ways of addressing problems with alternative options and creative and workable solutions. You will also use the new visualisation tools to present your validated findings in a clear and precise manner to non-technical people.

You will be exposed to different sectors and company functions. You will work most of the time at client sites in Belgium.

Qualifications, experience and skills

  • Master or PhD in Mathematics, Statistics, Computer Science, Engineering or any related field
  • Passionate about data and/or statistical analysis, with mathematics and causal modeling skills
  • Strong programming skills such as Java and/or Python
  • Knowledge of statistical modeling and tools (SAS, R, Matlab…), SQL and data mining is required. Knowledge of machine learning, Hadoop or other Big Data frameworks is a plus
  • At ease in manipulating and analysing complex, high-volume, high-dimensionality data from various sources
  • Excellent communication and interpersonal skills: you have the ability to communicate results clearly to non-technical colleagues
  • Strong analytical competencies and excellent creative problem-solving skills
  • Experience in Data Visualisation (knowledge of Business Intelligence Reporting & Analysis tools)
  • Overall knowledge of Business Intelligence is an asset; in particular data modeling, ETL, and reporting tools
  • Fluent in Dutch and/or French and English

What we offer

Keyrus offers a working environment and projects that attract the best people working in business intelligence, data analytics and performance management. Working on diverse and challenging projects, you will have the opportunity to develop multi-disciplinary IT/business skills to help you build a strong career path.

You will receive a training budget to support and sustain your skills and an attractive salary package including a company car and other benefits.

Apply:

Make sure that you are a member of the Brussels Data Science Community linkedin group before you apply. Join  here.

Please note that we also manage other vacancies that are not public, if you want us to bring you in contact with them too, just send your CV to datasciencebe@gmail.com .

Here is the original  jobpost .

Apply:  To Apply SUBMIT YOUR CV

President Barack Obama’s Big Data Keynote – Strata + Hadoop World 2015

So nice to see that the president of the US believes in the importance of Data Science and Open Data

 

 

President Barack Obama talks about the importance of Big Data and Data Science, and introduces Dr. DJ Patil as the first ever Chief Data Scientist and Deputy Chief Technology Officer for Data Policy.

Dr. Patil will work with the Office of Science and Technology Policy.

Webinar – Bart Baesens – State of the Art in Credit Risk Analytics

Bart Baesens   Professor of Big Data & Analytics

   https://lnkd.in/d2UQEzU

more about Bart on : http://www.dataminingapps.com/

 

 

 

Job – Startup – Realo – Gent – Data Scientist

realo

Oprichters Netlog betrokken bij Gentse startup Realo

Netlog-oprichters Lorenz Bogaert en Toon Coppens zijn betrokken bij een nieuwe Gentse startup Realo. Realo wil de online wereld van vastgoed veranderen.

 

JOB DESCRIPTION

As a data scientist you will combine statistical, mathematical and predictive modelling with business strategy skills to build the algorithms necessary to help our users, improve our products and drive our business.

REQUIREMENTS

  • Knowledge of Python, R, Clojure, Matlab, Pig, SQL, Elastic Search, …
  • Experience with text and data mining
  • You know about web development and can code (JS, PHP, JSON, … ) and are not stuck on frameworks.
  • You have a university Master’s or Doctor’s degree in Engineering or Mathematics.
  • Being a tech hero in a fast growing environment is your perfect habitat.

How to apply?

Apply Now

More Jobs ?

hidden-jobs1

Click here for more Data related job offers.
Join our community on linkedin and attend our meetups.
Follow our twitter account: @datajobsbe

Call for Paper – Data Innovation Summit – March 26th – Brussels

MADE-IN-BELGIUM datascience Innovation

Dear datascientist, dear bigdata expert,

You are kindly invited to share your big data science project experience with over 500 peers.

If you want to present your project please fill in this form here and join over 30 presenters for an action packed Data Innovation Summit on March 26th in Brussels.

The best cases will be bundled in our book ‘ Data Innovation in Belgium ‘, your presentation will be streamed live during the event and made available on our website.

We are looking forward to hearing your story,

Philippe Van Impe

Summit: Data Innovation Summit – Made in Belgium

Thursday, Mar 26, 2015, 9:00 AM

AXA building
boulevard du Souverain, 25 Watermael-Boitsfort, BE

99 Business & Data Science pro’s Attending

We are organizing a full day event to celebrate our first birthday.This event will be held in Brussels and hosted by AXA .The focus of the presentations will be on Belgian bigdata and datascience projects.Government, Universities and Companies will present the value they managed to get out of their analytic projects.In the evening we will have…

Check out this Meetup →

New e-learning course Credit Risk Analytics by professor Bart Baesens

Baesens_Bart_small     Big Data World

Beste mensen van de Brussels Data Science Community,
Na 6 maanden werk eraan, is het zover!
Mijn E-learning cursus staat online op:
Laat gerust weten als je nog vragen zou hebben.
Vriendelijke groeten,
Bart

Prof. Dr. Bart Baesens
Faculty of Economics and Business
KU Leuven
Naamsestraat 69
B-3000 Leuven
Belgium

www.dataminingapps.com

Master of Information Management

————–

New e-learning course Credit Risk Analytics by professor Bart Baesens

The outline of the course is as follows:
Lesson 1: Introduction to Credit Scoring
Lesson 2: The Basel Capital Accords
Lesson 3: Preparing the data for credit scoring
Lesson 4: Classification for credit scoring
Lesson 5: Measuring the Performance of Credit Scoring Classification Models
Lesson 6: Variable Selection for Classification
Lesson 7: Issues in Scorecard Construction
Lesson 8: Defining Default Ratings and Calibrating PD
Lesson 9: LGD modeling
Lesson 10: EAD modeling
Lesson 11: Validation of Credit Risk Models
Lesson 12: Low Default Portfolios
Lesson 13: Stress testing
You are invited to send an email to Bart.Baesens@gmail.com if interested in more information.

Sold Out – Sorry – IoT & Data Science Meetup – 250 registrations

sold out

In collaboration with the IoTBE – the Belgian Internet of Things Community

Agenda:

18:30 – Update on our Data4Good  activities with Doctors without borders (MSF)

18:45 – Update on our Hands-On session about Social Network Analysis

19:00 – Presentation – The Internet of Things & Data Sciences – Mr Frederik Santens (IoT be group)

19:30 – Presentation – Erik Mannens, Prof. PhD. MEng. MSc.- Prof. on Big Data Semantics @ iMinds-MMLab

20:15 – Presenation – Prof. Ann Nowé, head of the VUB ARTIFICIAL INTELLIGENCE LAB.

21:00 – Round Tabel Q&A & Wrap up Philippe Van Impe

21:30 – Networking in KultuurKaffee – Celebrating our >500 members